Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation - Top-Institutions - MDSpire

Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation

  • By

  • Mingxuan Huang

  • Tiantian Liu

  • Jiayin Zhang

  • Xiaoming Su

  • Hanlin Chen

  • Miao Li

  • Jinghan Guo

  • Kaiyang Zu

  • Xiaofeng Chen

  • Yanguo Su

  • Hengri Cong

  • Long Yan

  • Tianyi Yan

  • Yiming Deng

  • December 8, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neuroradiology
    • Neurosurgery
    • Biomedical Engineering

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Neuroradiology
    • Neurosurgery
    • Computer Science

  • #3

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Neuroradiology
    • Biomedical Informatics
    • Neurosurgery

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Biomedical Engineering

  • #5

    University of California, Los Angeles (UCLA) Health
    University of California, Los Angeles (UCLA) Health

    Los Angeles, CA

    Key Differentiators

    • Neuroradiology
    • Neurosurgery
    • Biomedical Engineering

Original Source(s)

Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation

  • by Mingxuan Huang, Tiantian Liu, Jiayin Zhang, Xiaoming Su, Hanlin Chen, Miao Li, Jinghan Guo, Kaiyang Zu, Xiaofeng Chen, Yanguo Su, Hengri Cong, Long Yan, Tianyi Yan, Yiming Deng

  • December 8, 2025

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